Ning Zhang
- Energy Engineering and Power Technology top 0.05%
-
- Integrated Energy Systems Optimization 83
- Smart Grid Energy Management 80
- Electric Power System Optimization 75
- Optimal Power Flow Distribution 66
- Energy Load and Power Forecasting 44
- Electric Vehicles and Infrastructure 26
- Control and Systems Engineering top 0.2%
- Microgrid Control and Optimization 59
-
- Power System Reliability and Maintenance 39
- General Energy top 1%
- Co-authors
- Chongqing KangQing XiaYi WangJingwei YangErshun DuDaniel S. KirschenYaohua ChengWujing Huang
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringControl and Systems Engineering
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (5 papers)Renewable and Sustainable Energy Reviews (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Zhang
335 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Energy Engineering and Power Technology 1.8k
- Electrical and Electronic Engineering 10.1k
- Control and Systems Engineering 3.6k
- Safety, Risk, Reliability and Quality 871
- General Energy 92
Countries citing papers authored by Ning Zhang
This map shows the geographic impact of Ning Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ning Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Zhang more than expected).
Fields of papers citing papers by Ning Zhang
This network shows the impact of papers produced by Ning Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ning Zhang. The network helps show where Ning Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 2 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 117 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 4 | |
| 20 | 2017 | 5 |
About Ning Zhang
Ning Zhang is a scholar working on Energy Engineering and Power Technology, General Energy and Electrical and Electronic Engineering, having authored 372 papers that have together received 12.0k indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (83 papers), Smart Grid Energy Management (80 papers), Electric Power System Optimization (75 papers), Optimal Power Flow Distribution (66 papers), Microgrid Control and Optimization (59 papers), Energy Load and Power Forecasting (44 papers), Power System Reliability and Maintenance (39 papers) and Electric Vehicles and Infrastructure (26 papers). The work is most often cited by research in Energy Engineering and Power Technology (1.8k citations), Electrical and Electronic Engineering (10.1k citations) and Control and Systems Engineering (3.6k citations). Ning Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chongqing Kang, Qing Xia, Yi Wang, Jingwei Yang, Ershun Du, Daniel S. Kirschen, Yaohua Cheng, Wujing Huang, Zhenyu Zhuo and Qingchun Hou. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.